From 120 papers on this topic published since 2021, kept out of the 372 most relevant results of our searches on OpenAlex. Relevance was checked for the 120 closest papers only.

This is a sample of the field, not a census: a broad topic has many more papers than a map reads. Narrow the topic or edit the searches to map one part of it well.

The 4 searches run on OpenAlex · An overview of the field
  • gut microbiome checkpoint inhibitor response — OpenAlex finds 18767 papers
  • gut bacteria cancer immunotherapy mechanisms — OpenAlex finds 23355 papers
  • microbiome biomarkers immune checkpoint blockade — OpenAlex finds 10753 papers
  • fecal microbiota transplantation immunotherapy resistance — OpenAlex finds 7207 papers

The landscape

Les approches mécanistiques et translationnelles se recouvrent largement, mais la première privilégie les interactions immunitaires et les métabolites dans l’ensemble des immunothérapies, tandis que la seconde se concentre sur leur exploitation clinique avec les inhibiteurs de points de contrôle. Les analyses de signatures cherchent des associations prédictives reproductibles entre cohortes, alors que les travaux sur les toxicités distinguent bénéfice antitumoral et événements indésirables immunitaires. Les études du carcinome hépatocellulaire ancrent ces questions dans l’axe intestin–foie, tandis que les travaux sur d’autres contextes tumoraux examinent notamment le traitement reçu, l’infection, le statut microsatellitaire ou la situation adjuvante.

People

Ordered by the papers of the map they sign, counting more those they sign first, last or as corresponding author. Author order says who did what in many fields, not who leads a team; it is not used in alphabetical author lists, nor after the first fifteen authors of a large collaboration.

Institutions

These are publication affiliations, not identified research teams. A national organization such as CNRS can include several independent laboratories.

Ordered by the papers one of their authors signs first, last or as corresponding author, then by their share of the papers: a paper signed by four institutions counts a quarter for each, so a large collaboration does not make each of its members look central.

Approaches

The papers are grouped by the similarity of their titles and abstracts; an AI names each group from its papers. A paper is in one group only.

Papers

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From the paper metadata of OpenAlex, which can be incomplete (affiliations, homonyms). Check before contacting anyone.